BM3D-Net-master
所属分类：其他
开发工具：matlab
文件大小：10706KB
下载次数：7
上传日期：2019-10-30 16:56:25
上 传 者：
梓墨学习了吗
说明： BM3D网络去噪，效果比较好，处理的图片清晰
(BM3D network denoising, good effect, clear image processing)
文件列表:
LICENSE (1069, 2019-06-08)
basis.mat (79013, 2019-06-08)
basis_dct.m (807, 2019-06-08)
bm3d_net_res.m (977, 2019-06-08)
data (0, 2019-06-08)
data\gen_train.m (456, 2019-06-08)
data\gen_train_02.m (555, 2019-06-08)
data\train-images (0, 2019-06-08)
data\train-images\test_001.png (20790, 2019-06-08)
data\train-images\test_002.png (14758, 2019-06-08)
data\train-images\test_003.png (22658, 2019-06-08)
data\train-images\test_004.png (20250, 2019-06-08)
data\train-images\test_005.png (20048, 2019-06-08)
data\train-images\test_006.png (18456, 2019-06-08)
data\train-images\test_007.png (19182, 2019-06-08)
data\train-images\test_008.png (17765, 2019-06-08)
data\train-images\test_009.png (10474, 2019-06-08)
data\train-images\test_010.png (21174, 2019-06-08)
data\train-images\test_011.png (22221, 2019-06-08)
data\train-images\test_012.png (24979, 2019-06-08)
data\train-images\test_013.png (22798, 2019-06-08)
data\train-images\test_014.png (14812, 2019-06-08)
data\train-images\test_015.png (18469, 2019-06-08)
data\train-images\test_016.png (20270, 2019-06-08)
data\train-images\test_017.png (17574, 2019-06-08)
data\train-images\test_018.png (22337, 2019-06-08)
data\train-images\test_019.png (17972, 2019-06-08)
data\train-images\test_020.png (21264, 2019-06-08)
data\train-images\test_021.png (18771, 2019-06-08)
data\train-images\test_022.png (11777, 2019-06-08)
data\train-images\test_023.png (18473, 2019-06-08)
data\train-images\test_024.png (15501, 2019-06-08)
data\train-images\test_025.png (26579, 2019-06-08)
data\train-images\test_026.png (22308, 2019-06-08)
data\train-images\test_027.png (20408, 2019-06-08)
data\train-images\test_028.png (12710, 2019-06-08)
data\train-images\test_029.png (10147, 2019-06-08)
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# BM3D-Net
Codes for BM3D-Net.
Dong Yang, Jian Sun*. BM3D-Net: A Convolutional Neural Network for Transform-Domain Collaborative Filtering, IEEE Signal Processing Letters, 2018
### Problems: "mink" function not found or undefined
With old versions of Matlab (R2017a and before), you may not able to run this code since there is no "mink" function. Besides updating your Matlab version, you may also refer to the Min-Max Selection package where a third-part "mink" function is included, but it may crash when compiled using a newer compiler. Here is the package: https://www.mathworks.com/matlabcentral/fileexchange/23576-min-max-selection.
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